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Modeling Air Traffic Management Technologies With a Queuing Network Model of the National Airspace System

By Dou Long David, David Lee, Jesse Johnson, Eric Gaier and Peter Kostiuk


This report describes an integrated model of air traffic management (ATM) tools under development in two National Aeronautics and Space Administration (NASA) programs---Terminal Area Productivity (TAP) and Advanced Air Transport Technologies (AATT). The model is made by adjusting parameters of LMINET, a queuing network model of the National Airspace System (NAS), which the Logistics Management Institute (LMI) developed for NASA. Operating LMINET with models of various combinations of TAP and AATT will give quantitative information about the effects of the tools on operations of the NAS. An extension of economic models developed by the Institute for NASA maps the technologies' impacts on NAS operations into cross-comparable benefits estimates for technologies and sets of technologies. An application of the Aviation Systems Analysis Capability (ASAC) Air Carrier Investment Model (ACIM), developed for NASA by the Institute, gives estimates of the ways in which the NASA tools impact NAS throughput, as measured by revenue passenger miles (RPMs), enplanements, and operations. Following this overview chapter, Chapter 2 describes LMINET and its constituent models in some detail. This information will help readers unfamiliar with LMINET to understand ATM models made with LMINET parameters. For completeness, we have included in this report material from three other reports and an LMI white paper, all of which were prepared for NASA by the Institute. [1,2,3,4] Those familiar with LMINET's components need only consider the material in the sections "Input-Stream Effects" and "Taxi-Delay Queues" in Chapter 2. The first describes a new LMINET parameter, developed to account for the fact that terminal radar approach control (TRACON) controllers may present airport controllers with arri..

Year: 1999
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